Increased Internet speeds and advanced technology means data science is high in demand. According to Glassdoor, a career as a data scientist is the third-best job in the United States for 2022. This increase in popularity means that all IT professionals, and aspiring professionals, should be familiar with our list of data science terms. For those looking to become a data scientist, in-depth knowledge of both basic and advanced data science terminology is vital. Our glossary of data science terminology will act as a data science terminology cheat sheet of basic and advanced terms as you start your journey as a data scientist.

There is no dearth of articles around the web comparing and contrasting data science terminology. There are all sorts of articles written by all types of people relaying their opinions to anyone who will listen. So let me set the record straight, for those wondering if this is one of those types of posts. I think that, while there may be an awful lot of opinion pieces defining and comparing these related terms, the fact is that much of this terminology is fluid, is not entirely agreed-upon, and, frankly, being exposed to other peoples' views is one of the best ways to test and refine your own. So, while one may not agree entirely (or even minimally) with my opinion on much of this terminology, there may still be something one can get out of this.